Research Associate in Computer Vision and Machine Learning

The Centre for Machine Vision (CMV) is seeking to appoint a Research Associate to focus on applications of computer vision and machine learning.  This is a full time, fixed term post for two years.

The CMV is within the Department of Engineering, Design and Mathematics and is located within the Bristol Robotics Laboratory (BRL - https://www.bristolroboticslab.com/centre-for-machine-vision), a joint venture between UWE and Bristol University.

The CMV is currently comprised of 15 researchers, five PhD students and four visiting academics and attracts funding from a range of bodies that include BBSRC, EPSRC and InnovateUK. We also undertake research funded by medical charities, as well as commercial consultancy work for various companies. The CMV specialises in real-world applications of computer vision and machine learning for the realisation of working prototypes and demonstrators, with a strong emphasis on data capture, modelling and analysis. Previous applications include agriculture (animal and plant monitoring), medicine (vision systems for patient diagnosis/analysis and human-computer interaction) and biometrics (human and animal face recognition and non-contact palmprint recognition).

About you

Candidates with experience of computer vision and/or machine learning are encouraged to apply. Successful applicants will have expertise in computer science or a related field, with a focus on computer vision or deep learning. A master’s level qualification, or equivalent, is essential; the candidate should be willing to register for a PhD in machine vision/machine learning.

In addition to a number of new projects starting or about to start, for example PIMS ID 10144655 (Support for Belron Projects) and PIMS ID 10487555 (IntelliPig), we have recently applied for funding in the form of major research projects related mainly to agri-tech and industrial automation applications. Example projects include: In-depth machine vision/deep learning analysis of pig images, for development of new methods for monitoring pig condition and health, and Innovative machine vision solutions for automotive camera/systems calibration.

We have recently received significant funding from NERC, for a water quality project focused on implementation of an agile sensing network for informing river health. We consider this to be a very timely and important project. It is likely that the appointed RA will work on this to develop an AI informed Water Quality Index, based on historical and live datasets, that can be visualised graphically, to enable users to understand how the quality of water is influenced by ‘discharge’ events, and to monitor how long the “signals” persist after these events.

This post is based at our lively Frenchay campus.

Why UWE Bristol?

We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in Bristol, one of the UK’s most exciting and forward-thinking cities, we are regionally embedded and globally connected, with an established network of employer and academic partners.

Add your individuality to ours

UWE Bristol recognises the power of a truly diverse university community.

We particularly encourage applications from Black, Asian, Multiple Heritage or Other Minority Ethnic candidates as we are currently under-represented in these areas within UWE Bristol, however all appointments are made strictly on individual merit.

As a Disability Confident employer, we welcome applications from those who identify as having a disability.

Further information

If you would like an informal discussion, please contact Prof Lyndon Smith on 0117 328 2009 or email: Lyndon.smith@uwe.ac.uk.   

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